126 to 150 of 882 Remote Containerisation Jobs

AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. More ❯

AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. More ❯

AI/codec workflows, including ML inference and neural compression pipelines. Requirements: Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. More ❯

CD pipelines Strong knowledge of architectural patterns such as SOA, Microservices, ESB, and API design Expertise in designing and implementing integration solutions for COTS and custom software Familiarity with containerisation (Docker), orchestration (Kubernetes), and virtualisation (VMware, IaaS tools like Ansible, Terraform) Excellent analytical, problem-solving, and communication skills Experience working within Agile or DevOps environments Preferred: Knowledge of data integration More ❯

Proficiency with Terraform (HashiCorp Certified Terraform Associate preferred). Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus More ❯

Proficiency with Terraform (HashiCorp Certified Terraform Associate preferred). Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus More ❯

Proficiency with Terraform (HashiCorp Certified Terraform Associate preferred). Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus More ❯

Proficiency with Terraform (HashiCorp Certified Terraform Associate preferred). Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus More ❯

imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated More ❯

imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated More ❯

Nice to Have: Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

a number of Senior level Platform Engineers & DevOps Engineers. The types of skills we would be looking for: Strong AWS experience (IAM, EC2, ECS, RDS, CloudWatch etc) Proficiency with Containerisation (Docker, Kubernetes). Familiarity with IaC, CI/CD, Jenkins. Strong experience with scripting technology such as Python, Powershell & Bash. Automation experience with Anssible, Terraform, IaC etc. Ideally experience working More ❯

a number of Senior level Platform Engineers & DevOps Engineers. The types of skills we would be looking for: Strong AWS experience (IAM, EC2, ECS, RDS, CloudWatch etc) Proficiency with Containerisation (Docker, Kubernetes). Familiarity with IaC, CI/CD, Jenkins. Strong experience with scripting technology such as Python, Powershell & Bash. Automation experience with Anssible, Terraform, IaC etc. Ideally experience working More ❯

a number of Senior level Platform Engineers & DevOps Engineers. The types of skills we would be looking for: Strong AWS experience (IAM, EC2, ECS, RDS, CloudWatch etc) Proficiency with Containerisation (Docker, Kubernetes). Familiarity with IaC, CI/CD, Jenkins. Strong experience with scripting technology such as Python, Powershell & Bash. Automation experience with Anssible, Terraform, IaC etc. Ideally experience working More ❯

practices across the lifecycle. What We’re Looking For *Required Qualifications* * *Active Secret Security Clearance.* * *6+ years of experience* with Terraform, Ansible, Jenkins, AWS, and RHEL. * Proven background in containerization and orchestration (Docker, Kubernetes). * Strong scripting ability (Python, Bash, Ruby, or similar). * Solid experience with CI/CD pipeline management in enterprise environments. * Deep understanding of networking (TCP More ❯

of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves Military background (RAF More ❯

of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF More ❯

of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF More ❯

of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF More ❯

of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF More ❯

of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves 🌳 Military background (RAF More ❯

or middleware solution development. Hands-on background with technologies such as C#, Java, JavaScript/TypeScript, or C++. Expertise in cloud platforms (AWS preferred, Azure or GCP also valuable), containerisation, and microservices. Deep understanding of APIs, integration patterns, and DevOps (CI/CD, infrastructure-as-code, Git). Experience working in Agile environments, ideally within large distributed teams. Strong leadership More ❯

tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and More ❯

tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and More ❯

tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes), and Infrastructure as Code (e.g., Terraform). Agile Delivery: Drive solution delivery through agile methodologies, managing end-to-end development cycles, from requirements gathering to deployment and More ❯